文件名称:111
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BP神经网络模型,用于根据反馈信息,调整,以达到最优值-BP neural network model for feedback adjustments to achieve the optimal value
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下载文件列表
BP神经网络\BP例题编程.m
..........\SRC\BS2RV.M
..........\...\CONTENTS.M
..........\...\CRTBASE.M
..........\...\CRTBP.M
..........\...\CRTRP.M
..........\...\MIGRATE.M
..........\...\MPGA.M
..........\...\MUT.M
..........\...\MUTATE.M
..........\...\MUTBGA.M
..........\...\OBJFUN1.M
..........\...\OBJHARV.M
..........\...\RANKING.M
..........\...\RECDIS.M
..........\...\RECINT.M
..........\...\RECLIN.M
..........\...\RECMUT.M
..........\...\RECOMBIN.M
..........\...\REINS.M
..........\...\REP.M
..........\...\RESPLOT.M
..........\...\RWS.M
..........\...\SCALING.M
..........\...\SELECT.M
..........\...\SGA.M
..........\...\SUS.M
..........\...\TEST_FNS\DEMOGA1.M
..........\...\........\MPGA.M
..........\...\........\OBJBRAN.M
..........\...\........\OBJDOPI.M
..........\...\........\OBJEASO.M
..........\...\........\OBJFUN1.M
..........\...\........\OBJFUN1A.M
..........\...\........\OBJFUN1B.M
..........\...\........\OBJFUN2.M
..........\...\........\OBJFUN6.M
..........\...\........\OBJFUN7.M
..........\...\........\OBJFUN8.M
..........\...\........\OBJFUN9.M
..........\...\........\OBJGOLD.M
..........\...\........\OBJHARV.M
..........\...\........\OBJLINQ.M
..........\...\........\OBJLINQ2.M
..........\...\........\OBJPUSH.M
..........\...\........\OBJSIXH.M
..........\...\........\RESPLOT.M
..........\...\........\SGA.M
..........\...\........\SIMDOPI1.M
..........\...\........\SIMDOPI2.M
..........\...\........\SIMLINQ1.M
..........\...\........\SIMLINQ2.M
..........\...\........\SIMOBJP.M
..........\...\........\TEST_FNS.PS
..........\...\XOVDP.M
..........\...\XOVDPRS.M
..........\...\XOVMP.M
..........\...\XOVSH.M
..........\...\XOVSHRS.M
..........\...\XOVSP.M
..........\...\XOVSPRS.M
..........\...\TEST_FNS
..........\SRC
BP神经网络
..........\SRC\BS2RV.M
..........\...\CONTENTS.M
..........\...\CRTBASE.M
..........\...\CRTBP.M
..........\...\CRTRP.M
..........\...\MIGRATE.M
..........\...\MPGA.M
..........\...\MUT.M
..........\...\MUTATE.M
..........\...\MUTBGA.M
..........\...\OBJFUN1.M
..........\...\OBJHARV.M
..........\...\RANKING.M
..........\...\RECDIS.M
..........\...\RECINT.M
..........\...\RECLIN.M
..........\...\RECMUT.M
..........\...\RECOMBIN.M
..........\...\REINS.M
..........\...\REP.M
..........\...\RESPLOT.M
..........\...\RWS.M
..........\...\SCALING.M
..........\...\SELECT.M
..........\...\SGA.M
..........\...\SUS.M
..........\...\TEST_FNS\DEMOGA1.M
..........\...\........\MPGA.M
..........\...\........\OBJBRAN.M
..........\...\........\OBJDOPI.M
..........\...\........\OBJEASO.M
..........\...\........\OBJFUN1.M
..........\...\........\OBJFUN1A.M
..........\...\........\OBJFUN1B.M
..........\...\........\OBJFUN2.M
..........\...\........\OBJFUN6.M
..........\...\........\OBJFUN7.M
..........\...\........\OBJFUN8.M
..........\...\........\OBJFUN9.M
..........\...\........\OBJGOLD.M
..........\...\........\OBJHARV.M
..........\...\........\OBJLINQ.M
..........\...\........\OBJLINQ2.M
..........\...\........\OBJPUSH.M
..........\...\........\OBJSIXH.M
..........\...\........\RESPLOT.M
..........\...\........\SGA.M
..........\...\........\SIMDOPI1.M
..........\...\........\SIMDOPI2.M
..........\...\........\SIMLINQ1.M
..........\...\........\SIMLINQ2.M
..........\...\........\SIMOBJP.M
..........\...\........\TEST_FNS.PS
..........\...\XOVDP.M
..........\...\XOVDPRS.M
..........\...\XOVMP.M
..........\...\XOVSH.M
..........\...\XOVSHRS.M
..........\...\XOVSP.M
..........\...\XOVSPRS.M
..........\...\TEST_FNS
..........\SRC
BP神经网络